class_docstr: Standard conv: ReLU - Conv - BN
code: def __init__(
      self, C_in, C_out, kernel_size, stride, padding, affine=True
  ):
      super().__init__()
      self.net = nn.Sequential(
          nn.ReLU(),
          nn.Conv2d(
              C_in, C_out, kernel_size, stride, padding, bias=False
          ),
          nn.BatchNorm2d(C_out, affine=affine),
      )
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new StdConv object from inherited base classes: nn with example: obj = StdConv(C_in, C_out, kernel_size, stride, padding, affine)